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227-0976-00L 2 Credits MSC D-HEST , D-MAVT , D-PHYS , D-ITET

Computational Psychiatry & Computational Psychosomatics

Lecturers & Examiners: Prof. Dr. Klaas Stephan

Information for UZH students: Enrolment to this course unit only possible at ETH Zurich. No enrolment to module BMT20002. Please mind the ETH enrolment deadlines for UZH students:

VVZ CR n/a

Last Updated: 2026-02-27 01:05:48

Abstract

This seminar deals with the development of clinically relevant computational tools and/or their application to psychiatry and psychosomatics. Complementary to the annual Computational Psychiatry Course, it serves to build bridges between computational scientists and clinicians and is designed to foster in-depth exchange, with ample time for discussion

Objective

Understanding strengths and weaknesses of current trends in the development of clinically relevant computational tools and their application to problems in psychiatry and psychosomatics.

Content

This seminar deals with the development of computational tools (e.g. generative models, machine learning) and/or their application to psychiatry and psychosomatics. The seminar includes (i) presentations by computational scientists and clinicians, (ii) group discussion with focus on methodology and clinical utility, (iii) self-study based on literature provided by presenters.

Resources

Literature

Literature for additional self-study of the topics presented in this seminar will be provided by the presenters and will be available online at https://www.tnu.ethz.ch/en/teaching

General Information

Language: English
Levels: MSC
Frequency: Semesterly recurring

Examination

Type: graded semester performance

Written assessment: Participants are expected to submit an essay (5 pages max.) that provides a detailed discussion of one of the computational approaches presented in the seminar, with a particular focus on strengths, weaknesses, assumptions and potential for translation into clinical applications.

Course Components

Type	Title	Time & Place	Hours
seminar	Computational Psychiatry & Computational Psychosomatics Permission from lecturers required for all students. together with University of Zurich Dates: tba on the website below Room: SOF-E-7, Schönberggasse 1, 8001 Zurich	No time listed	60 h semesterly

Offered In

Biomedical Engineering Master (Only courses offered under "GESS Science in Perspective" count in this category. See "Offered in" tab in course view. For more information, please refer to )
- Major Courses
  - Bioelectronics
    - Recommended Elective Courses (These courses are particularly recommended for the Bioelectronics track. Please consult your track adviser if you wish to select other subjects.)
  - Bioimaging
    - Recommended Elective Courses (These courses are particularly recommended for the Bioimaging track. Please consult your track adviser if you wish to select other subjects.)